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Methodology and GUI for NDE/SHM using Two-Stage Compressive Sensing
Reference #: 01579
The University of South Carolina is offering licensing opportunities for Methodology and GUI for NDE/SHM using Two-Stage Compressive Sensing
Background:
Compressive Sensing has been shown to greatly reduce data acquisition and processing burdens by providing mathematical guarantees for accurate signal recovery from far fewer samples...
Published: 4/29/2026
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Updated: 9/14/2022
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Inventor(s): Sourav Banerjee, Mustahseen Indaleeb, Shawn Beard, Ritubarna Banerjee
Keywords(s): Compressive Sensing, Data Features, Data Reduction, NDE, SHM, Ultrasonics
Category(s): Engineering and Physical Sciences
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